TY - JOUR
T1 - Remote sensing approaches for land use and land surface temperature assessment
T2 - a review of methods
AU - Ayanlade, Ayansina
N1 - Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - Selection of appropriate data and methods for environmental change assessment is highly central in any remote sensing research project. This study assessed various land use/land cover change (LUCC) methods and tested the accuracy of prominent classification methods and their implications on land surface temperature (LST) change estimation. Niger Delta of Nigeria was used as a case study. The study concluded that, though no single method can be applied to all cases and regions, there are some factors that determine the remote sensing methods to be used in both LST and LUCC change analysis. Such factors include the spatial, temporal, spectral and radiometric resolutions of satellite image and environmental factors. Therefore, this paper evaluated methods used in earlier studies to assess, monitor and model LUCC impacts on LST. The paper concludes by proposing the use of two or more methods in any LUCC–LST research project. This is because, all remote sensing methods are not totally right, but some are useful, thus, the methods should be viewed as complementary.
AB - Selection of appropriate data and methods for environmental change assessment is highly central in any remote sensing research project. This study assessed various land use/land cover change (LUCC) methods and tested the accuracy of prominent classification methods and their implications on land surface temperature (LST) change estimation. Niger Delta of Nigeria was used as a case study. The study concluded that, though no single method can be applied to all cases and regions, there are some factors that determine the remote sensing methods to be used in both LST and LUCC change analysis. Such factors include the spatial, temporal, spectral and radiometric resolutions of satellite image and environmental factors. Therefore, this paper evaluated methods used in earlier studies to assess, monitor and model LUCC impacts on LST. The paper concludes by proposing the use of two or more methods in any LUCC–LST research project. This is because, all remote sensing methods are not totally right, but some are useful, thus, the methods should be viewed as complementary.
KW - detection methods
KW - Land surface temperature
KW - LUCC change
KW - remote sensing
UR - http://www.scopus.com/inward/record.url?scp=85015758034&partnerID=8YFLogxK
U2 - 10.1080/19479832.2017.1299802
DO - 10.1080/19479832.2017.1299802
M3 - Review Article
AN - SCOPUS:85015758034
SN - 1947-9832
VL - 8
SP - 188
EP - 210
JO - International Journal of Image and Data Fusion
JF - International Journal of Image and Data Fusion
IS - 3
ER -